期刊
ICARUS
卷 225, 期 1, 页码 614-622出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.icarus.2013.04.025
关键词
Meteors; Image processing; Data reduction techniques; Photometry
资金
- Canada Foundation of Innovation
- NASA Meteoroid Environment Office (MEO) [NNX11AB76A]
We describe the hardware and software for the Canadian Automated Meteor Observatory (CAMO), an automated two-station video meteor system designed to facilitate simultaneous radar-video meteor detections, to help constrain numerical ablation models with higher precision meteor data, and to measure the meteoroid mass influx at the Earth. A guided system with a wide-field (similar to 30 degrees) camera detects meteors (<+5(M)) and positions an optical scanner such that a narrow-field (similar to 1 degrees) camera tracks the meteors in real-time. This allows for higher precision deceleration measurements than traditionally available, and for detailed studies of meteoroid fragmentation. A second system with a wide-field (similar to 20 degrees) camera detects fainter (<+7(M)) meteors (in non-real-time) primarily for meteoroid mass influx measurements. We describe the system architecture, automation control, and instruments of CAMO, and show example detections. We find narrow-field trajectory solutions have precisions in speed of a few tenths of a percent, and radiant precisions of similar to 0.01 degrees. Our initial survey shows 75% of all tracked, multi-station meteor events (<+5(M)) show evidence of fragmentation, either as discrete fragments (17% of total), or in the form of meteor wake. Our automatic wide-field camera solutions have average radiant errors of similar to 3 degrees and speed uncertainties of 3%. (C) 2013 Elsevier Inc. All rights reserved.
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